一文搞懂華爲ML Kit拍照購,超簡單集成

簡介

華爲HMS ML Kit提供拍照購服務,用戶經過拍攝商品圖片,在預先創建的商品圖片庫中在線檢索同款或類似商品,返回類似商品ID和相關信息。java

在這裏插入圖片描述

應用場景

  1. 使用攝像頭設備從開發的購物APP當中捕捉產品圖像。android

  2. 在循環視圖當中顯示返還的產品列表。

一文搞懂華爲ML Kit拍照購,超簡單集成

開發準備

  1. 推薦使用Java JDK 1.8或者更高版本。git

  2. 推薦使用Android Studio。算法

  3. 搭載HMS Core4.0.0.300 或者更高版本的華爲安卓設備。json

  4. 在開發APP以前,你須要註冊華爲開發者,帳號註冊。網絡

  5. 集成AppGallery Connect SDK, 請訪問AppGallery Connect 服務入門指南。

開發

  1. 在Manage APIs中啓用ML Kit, 可參考開通服務。app

  2. 在app-level bulid.gradle 中集成如下依賴項。
// Import the product visual search SDK.

 implementation 'com.huawei.hms:ml-computer-vision-cloud:2.0.1.300'
  1. 在app.gradle文件的頂部添加agc插件。
apply plugin: 'com.huawei.agconnect'
  1. 在清單中添加如下權限。
  • 攝像頭權限android.permission.CAMERA: 從攝像頭中獲取實時圖像或視頻。async

  • 網絡鏈接權限 android.permission.INTERNET:訪問互聯網上的雲服務。ide

  • 存儲寫權限android.permission.WRITE_EXTERNAL_STORAGE: 升級算法版本。gradle

  • 存儲讀權限android.permission.READ_EXTERNAL_STORAGE: 讀取存儲在設備上的照片。
  1. 實時請求相機權限
private void requestCameraPermission() {
     final String[] permissions = new String[] {Manifest.permission.CAMERA};

     if (!ActivityCompat.shouldShowRequestPermissionRationale(this, Manifest.permission.CAMERA)) {
         ActivityCompat.requestPermissions(this, permissions, this.CAMERA_PERMISSION_CODE);
         return;
     }
 }
  1. 在Application class 中添加如下代碼
public class MyApplication extends Application {

@Override
     public void onCreate() {
         super.onCreate();
         MLApplication.getInstance().setApiKey("API KEY");
     }
 }

能夠從AGC或者集成的agconnect-services.json得到API key。

  1. 爲拍照購物建立一個分析器。
private void initializeProductVisionSearch() {
         MLRemoteProductVisionSearchAnalyzerSetting settings = new MLRemoteProductVisionSearchAnalyzerSetting.Factory()
 // Set the maximum number of products that can be returned.
                 .setLargestNumOfReturns(16)
                 // Set the product set ID. (Contact mlkit@huawei.com to obtain the configuration guide.)
 //                .setProductSetId(productSetId)
                 // Set the region.
                 .setRegion(MLRemoteProductVisionSearchAnalyzerSetting.REGION_DR_CHINA)
                 .create();
          analyzer
                 = MLAnalyzerFactory.getInstance().getRemoteProductVisionSearchAnalyzer(settings);
     }
  1. 從相機中捕捉圖像。
Intent intent = new Intent(MediaStore.ACTION_IMAGE_CAPTURE);

 startActivityForResult(intent, REQ_CAMERA_CODE);
  1. 一旦圖像被捕捉,將執行onActivityResult() method。
@Override
     public void onActivityResult(int requestCode, int resultCode, Intent data) {
         super.onActivityResult(requestCode, resultCode, data);
         Log.d(TAG, "onActivityResult");
         if(requestCode == 101) {
             if (resultCode == RESULT_OK) {
                 Bitmap bitmap = (Bitmap) data.getExtras().get("data");
                 if (bitmap != null) {
 // Create an MLFrame object using the bitmap, which is the image data in bitmap format.
                     MLFrame mlFrame = new MLFrame.Creator().setBitmap(bitmap).create();
                     mlImageDetection(mlFrame);
                 }
  }

 }
     }  
     private void mlImageDetection(MLFrame mlFrame) {
     Task> task = analyzer.asyncAnalyseFrame(mlFrame);
     task.addOnSuccessListener(new OnSuccessListener>() {
         public void onSuccess(List products) {
             // Processing logic for detection success.
      displaySuccess(products);

   }})
             .addOnFailureListener(new OnFailureListener() {
                 public void onFailure(Exception e) {
                     // Processing logic for detection failure.
                     // Recognition failure.
                     try {
                         MLException mlException = (MLException)e;
                         // Obtain the result code. You can process the result code and customize respective messages displayed to users.
                         int errorCode = mlException.getErrCode();
                         // Obtain the error information. You can quickly locate the fault based on the result code.
                         String errorMessage = mlException.getMessage();
                     } catch (Exception error) {
                         // Handle the conversion error.
                     }
                 }
             });
              } 

   private void displaySuccess(List productVisionSearchList) {
         List productImageList = new ArrayList();
         String prodcutType = "";
         for (MLProductVisionSearch productVisionSearch : productVisionSearchList) {
             Log.d(TAG, "type: " + productVisionSearch.getType() );
             prodcutType =  productVisionSearch.getType();
             for (MLVisionSearchProduct product : productVisionSearch.getProductList()) {
                 productImageList.addAll(product.getImageList());
                 Log.d(TAG, "custom content: " + product.getCustomContent() );
             }
         }
         StringBuffer buffer = new StringBuffer();
         for (MLVisionSearchProductImage productImage : productImageList) {
             String str = "ProductID: " + productImage.getProductId() + "
ImageID: " + productImage.getImageId() + "
Possibility: " + productImage.getPossibility();
             buffer.append(str);
             buffer.append("
");
         }
         Log.d(TAG , "display success: " + buffer.toString());
         FragmentTransaction transaction = getFragmentManager().beginTransaction();
         transaction.replace(R.id.main_fragment_container, new SearchResultFragment(productImageList, prodcutType ));
         transaction.commit();
     }

onSuccess()回調將給咱們MLProductVisionSearch.getType()對象列表,可用於獲取每一個產品的ID和圖像URL。咱們還能夠使用productVisionSearch.getType()獲取產品類型,gatType()返回可映射的編號。

在撰寫本文時,產品類型是:

一文搞懂華爲ML Kit拍照購,超簡單集成

  1. 咱們能夠使用如下代碼實現產品類型映射。
private String getProductType(String type) {
    switch(type) {
        case "0":
            return "Others";
        case "1":
            return "Clothing";
        case "2":
            return "Shoes";
        case "3":
            return "Bags";
        case "4":
            return "Digital & Home appliances";
        case "5":
            return "Household Products";
        case "6":
            return "Toys";
        case "7":
            return "Cosmetics";
        case "8":
            return "Accessories";
        case "9":
            return "Food";
    }
    return  "Others";
}
  1. 從MLVisionSearchProductImage獲取產品ID和圖像URL。
@Override
public void onBindViewHolder(ViewHolder holder, int position) {
    final MLVisionSearchProductImage mlProductVisionSearch = productVisionSearchList.get(position);

    holder.tvTitle.setText(mlProductVisionSearch.getProductId());
    Glide.with(context)
            .load(mlProductVisionSearch.getImageId())
                    .diskCacheStrategy(DiskCacheStrategy.ALL)
                    .into(holder.imageView);

}

Demo

一文搞懂華爲ML Kit拍照購,超簡單集成
欲瞭解更多詳情,請參閱:

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參與開發者討論請到Reddit社區

下載demo和示例代碼請到Github

解決集成問題請到Stack Overflow


原文連接:
https://developer.huawei.com/consumer/cn/forum/topic/0201434135672410084?fid=18

做者:胡椒

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